Jan 2022 – Sep 2023 · 1 yr 8 mos · On-site

• Spearhead all major engineering initiatives and deployments within the ACT services (AI-Driven Patient outreach software to increase screening compliance), ensuring the successful execution of projects.
• Lead efforts to enhance service runtime and monitoring, fostering increased visibility into system performance.
• Proactively engage with clients & product management to understand their unique needs and discuss the potential benefits of the ACT program, facilitating tailored solutions.
• Conceptualize and implement optimization strategies, resulting in reduced operational costs for the ACT call center and improved program effectiveness.
• Drive innovation by exploring cutting-edge technologies like Large Language Models (LLMs) and integrating them into our system to enhance the user experience.
• Make significant contributions toward achieving SOC2 compliance, ensuring that our services meet rigorous security and data protection standards.

Sep 2018 – Dec 2021 · 3 yrs 3 mos · On-site

• As a founding engineer, played a pivotal role in establishing our team culture and shaping development strategies.
• Actively contributed to the ideation of product features, with a particular focus on the ACT (AI-Driven Patient outreach software to increase screening compliance) product and Patient-facing Mobile App.
• Responsibilities included architecting, setting up infrastructure and developing the ACT service from the ground up.
• As we were a small team, we took on additional roles as needed, including analytics, QA, DevOps, and DBA, to ensure smooth project execution and success.
• Contributed to team growth, expanding the India team from 3 members to a robust team of 15.
• Designed and implemented a comprehensive set of code challenges and an interview process to attract and onboard top-tier engineering talent.

Jul 2014 – Sep 2018 · 4 yrs 2 mos

• In my role as a full-time software developer, I had the opportunity to collaborate with various teams and engage in diverse projects, including
• Review and Commenting Service:
• As one of the early members of the team responsible for developing micro-services from the ground up, played a pivotal role in shaping the project's architecture, contributing to architectural decisions, requirements gathering, and system-level development.
• My responsibilities included the design and implementation of RESTful APIs and a client application tailored for facilitating review and commenting on documents.
• Additionally, collaborated with infrastructure and security teams to achieve the desired Security Compliance for the micro-service.
• Adobe Document Cloud:
• As a Member of technical staff, had an opportunity to learn and contribute to the team that integrated Adobe Document Cloud online services into Acrobat Reader desktop using Chromium Embedded Framework and contributed to enabling accessibility support for Off Screen Rendered HTML CEF views in Adobe Acrobat/Reader.
• Led the development of a framework to connect various document repositories (Box, Dropbox, OneDrive) in Acrobat/Reader, facilitating file listing, viewing, and updates directly within the Acrobat/Reader desktop software.
• Created a Software Development Kit (SDK) for third-party developers to build connectors as Acrobat plugins for any file storage repository.

May 2013 – Jun 2014 · 1 yr 1 mo

• Conducted my Master's Dissertation at IIT Roorkee, in collaboration with Adobe Research Labs
• Title: Machine Learning-Based User Intention and Information Diffusion Analysis
• Investigated critical aspects of Social Media Analytics employing NLP and network analysis techniques. Two primary objectives were pursued:
• 1 - Identifying Purchase Intent and Product Improvement Suggestions from User Social Posts
• Developed a machine learning framework to discern users' purchase intent and product improvement suggestions from their social media content.
• Facilitated the identification of potential customers, product enhancement insights, and competitive analysis for marketers.
• 2 - Computing Information Diffusion Probability via Social Network Links
• Created a probabilistic machine learning model to estimate message diffusion probabilities within social networks through network links.
• These probability estimates played a pivotal role in optimizing strategies for influence maximization within social networks.

May 2012 – Jul 2012 · 2 mos · Noida, Uttar Pradesh, India · On-site

• Project - Object-level Search from Web Pages and Adaptive Display
• This work focused on the development of a system designed to identify significant HTML objects within webpages, based on the webpage's specific category. This undertaking was geared towards enhancing the display of critical information on small-screen devices and facilitating object-level web searching.
• Implemented visual segmentation technique for webpages. This process involved breaking down web content into distinct sections and objects, a crucial step in achieving object-level analysis.
• Trained machine learning models to recognize the semantics associated with the identified webpage objects.